Why using a Policy-based algorithm instead of Deep Q-learning?
Author(s): Ali Ghandi Artificial Intelligence Why Using a Policy-Based algorithm Instead of Deep Q-learning? A super-simple explanation about Policy Gradient. Photo by Gradient on Unsplash I assume you are familiar with Q-learning and deep Q-learning concepts. We find Q-values as the expected sum …
Salesforce ODQA is an Open Sources Framework for Open Domain Question Answering
Author(s): Jesus Rodriguez The framework uses a multi-hop QA method to answer complex questions by reasoning through Wikipedia’s datasets . Continue reading on Towards AI » Published via Towards AI …
Facebook Open Sourced BlenderBot 2.0,
Author(s): Jesus Rodriguez The new version expands the capabilities of its predecessor building a much more natural conversational experience. Continue reading on Towards AI » Published via Towards AI …
The Ultimate Guide To Shallow Copy and Deep Copy in Python
Author(s): Chetan Ambi Shallow copy and deep copy in Python are explained in detail Continue reading on Towards AI » Published via Towards AI …
Aspects that can make Artificial Intelligence reliable and trustworthy.
Author(s): Raman Kumar Jha Artificial Intelligence Artificial Intelligence is an enormous field that has extreme power that can be used in ways that negatively affect society. To develop and use AI systems responsibly, AI developers must consider concerns regarding ethics, bias, and …
Learning Rate Scheduling for Deep Learning using Tensorflow 2
Author(s): Nour Islam Mokhtari What is it? Why use it? And how to create your custom learning rate schedulers in Tensorflow 2 Continue reading on Towards AI » Published via Towards AI …
Shapash 1.4.2: Grouping your variables for easier understanding of your models
Author(s): Thomas Bouche Version 1.4.2 of Shapash is now available and the library has been enriched with a variable grouping feature to take a step forward in the explicability of a variable-rich model! Webapp Shapash A model learns from datasets that may …
Hyper-parameters: RandomSeachCV and GridSearchCV in Machine Learning
Author(s): Amit Chauhan Techniques to improve the accuracy of the algorithm Continue reading on Towards AI » Published via Towards AI …
Crisis Proofing The Hospitality Industry
Author(s): Lukas Frei Using data visualization to find risk reduction measures Continue reading on Towards AI » Published via Towards AI …
Workflow of a Data Science Project
Author(s): Raman Kumar Jha Data Science Data science projects are a kind of projects where output is often a set of actionable insights, the insights which may cause you to do things differently. To understand the workflow of a data science project, …
OpenCV: Different Color Spaces in Image Processing with Python
Author(s): Amit Chauhan Preprocessing techniques for feature extraction and object detection Continue reading on Towards AI » Published via Towards AI …
OpenAI’s New Code Generator: GitHub Copilot (and Codex)
Author(s): Louis Bouchard Find out how this AI Generates Code From Words Continue reading on Towards AI » Published via Towards AI …
How to deal with imbalanced datasets
Author(s): Ioana Zaman What is an imbalanced dataset? Continue reading on Towards AI » Published via Towards AI …
Workflow of a Machine Learning Project
Author(s): Raman Kumar Jha Machine Learning Machine learning algorithms can learn from A to B or input to output mapping. If we take an example of a speech recognition software like Amazon Echo/Alexa, Google Home, Apple Siri which can be easily found …
How IBM Uses How to Combine Humans and Neural Networks to Achieve Better Language Intelligence
Author(s): Jesus Rodriguez The human-in-the-loop approach shows high efficiency in language models. Continue reading on Towards AI » Published via Towards AI …
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